GitHub - tomr-stargazer/wuvars-proto: A set of software tools for the "WUVARS" (WFCAM-UKIRT Variability Study) project. Preliminary code (not ready for distribution).

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A set of software tools for the "WUVARS" (WFCAM-UKIRT Variability Study) project. Preliminary code (not ready for distribution).

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wuvars-proto

  WUVARS is a set of software tools developed to access,
  process, analyze, and visualize time-series photometry
  from UKIRT's WFCAM instrument, after being processed 
  through the WFCAM Science Archive.

  The primary software modules are located in the tr/ 
  subdirectory.

  A description of the main modules:
    tr/plot2.py, tr/plot3.py - used to visualize lightcurves	
    tr/scargle.py - performs Lomb-Scargle Periodogram analysis
    tr/chi2.py - interfaces with Palmer's Fast Chi-Squared 
                 frequency analysis
    tr/spreadsheet.py - calculates statistics of photometry &
    		      	variability for lists of stars
    tr/stetson.py - calculates the Stetson variability index
    tr/robust.py - calculates Robust statistics
    tr/timing.py - implements a filter for periodogram frequencies
    tr/tr_helpers.py - contains a number of helper functions 
    		       used in the above packages (also see tr/helpers3.py)
    tr/super.py - a set of magic functions that make very many 
                  figures and plots simultaneously.

  WUVARS is written in Python, heavily using the NumPy, 
  Matplotlib, and ATpy packages.

  Created in 2010-2012 by Tom Rice ([email protected]).
  
  README last updated 19 June 2012.